University withheld until you unlockunlock below to reveal · Full-time
Data Science (Applied Urban Analytics)
The inexorable rise of the digital world, driven by the rapid development of AI, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recogni…
MSc1 yearFull-time
Browse computer science courses in UK
School of Social Sciences · Computing
The inexorable rise of the digital world, driven by the rapid development of AI, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in the worlds of sport, medicine, space exploration and more. Our MSc Data Science (Urban Analytics) course prepares you for a successful career in this high-demand field. You will develop invaluable abilities in key area’s such as: - data analysis; - project design; - computational methods; - data stewardship. This course focusses on the data techniques and uses that are most relevant to urban analytics, with optional course units exploring themes such as land use, property valuation and town planning. We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data. By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more. Previous students have gone on to roles such as data scientists, civil servants, consultants, researchers, entrepreneurs, and within AI. This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.
Getting in
As the university states it
High 2:1 honours degree (or overseas equivalent) For this pathway, we would expect applicants to evidence an interest and/or experience in topics related to urban analysis. Examples are: Working experience in urban-themed topics (e.g. data analyses for spatial phenomena, public policies or real estate market analysis) Experience in working in spatial or GIS-based data analysis Evidence of training in urban-themed methods or topics (e.g. GIS). In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: data analytics and/or statistics; computational subjects; and pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.